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A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI

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With rising safety concerns over the use of gadolinium‐based contrast agents (GBCAs) in contrast‐enhanced MRI, there is a need for dose reduction while maintaining diagnostic capability. This work proposes comprehensive… Click to show full abstract

With rising safety concerns over the use of gadolinium‐based contrast agents (GBCAs) in contrast‐enhanced MRI, there is a need for dose reduction while maintaining diagnostic capability. This work proposes comprehensive technical solutions for a deep learning (DL) model that predicts contrast‐enhanced images of the brain with approximately 10% of the standard dose, across different sites and scanners.

Keywords: contrast; deep learning; contrast enhanced; learning model; gadolinium

Journal Title: Magnetic Resonance in Medicine
Year Published: 2021

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